Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. - Gustav Forslid; Håkan Wieslander; Ewert Bengtsson; Carolina Wählby; Jan-Michael Hirsch; Christina Runow Stark; Sajith Kecheril Sadanandan (ICCV Workshops, 2017)

HarmonicIO: Scalable Data Stream Processing for Scientific Datasets. - Preechakorn Torruangwatthana; Håkan Wieslander; Ben Blamey; Andreas Hellander; Salman Zubair Toor (IEEE CLOUD, 2018)

Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. - Håkan Wieslander; Philip J. Harrison; Gabriel Skogberg; Sonya Jackson; Hakan Fridén; Johan Karlsson; Ola Spjuth; Carolina Wählby (IEEE J. Biomed. Health Informatics, 2021)

Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging. - Håkan Wieslander (2022)

Evaluating the utility of brightfield image data for mechanism of action prediction. - Philip J. Harrison; Ankit Gupta 018; Jonne Rietdijk; Håkan Wieslander; Jordi Carreras Puigvert; Polina Georgiev; Carolina Wählby; Ola Spjuth; Ida-Maria Sintorn (PLoS Comput. Biol., 2023)